[QNN EP] Make QNN EP a shared library (#23120)

### Description
- Makes QNN EP a shared library **by default** when building with
`--use_qnn` or `--use_qnn shared_lib`. Generates the following build
artifacts:
- **Windows**: `onnxruntime_providers_qnn.dll` and
`onnxruntime_providers_shared.dll`
- **Linux**: `libonnxruntime_providers_qnn.so` and
`libonnxruntime_providers_shared.so`
  - **Android**: Not supported. Must build QNN EP as a static library.
- Allows QNN EP to still be built as a static library with `--use_qnn
static_lib`. This is primarily for the Android QNN AAR package.
- Unit tests run for both the static and shared QNN EP builds.

### Detailed changes
- Updates Java bindings to support both shared and static QNN EP builds.
- Provider bridge API:
- Adds logging sink ETW to the provider bridge. Allows EPs to register
ETW callbacks for ORT logging.
- Adds a variety of methods for onnxruntime objects that are needed by
QNN EP.
- QNN EP:
- Adds `ort_api.h` and `ort_api.cc` that encapsulates the API provided
by ORT in a manner that allows the EP to be built as either a shared or
static library.
- Adds custom function to transpose weights for Conv and Gemm (instead
of adding util to provider bridge API).
- Adds custom function to quantize data for LeakyRelu (instead of adding
util to provider bridge API).
  - Adds custom ETW tracing for QNN profiling events:
    - shared library: defines its own TraceLogging provider handle
- static library: uses ORT's TraceLogging provider handle and existing
telemetry provider.
- ORT-QNN Packages:
- **Python**: Pipelines build QNN EP as a shared library by default.
User can build a local python wheel with QNN EP as a static library by
passing `--use_qnn static_lib`.
- **NuGet**: Pipelines build QNN EP as a shared library by default.
`build.py` currently enforces QNN EP to be built as a shared library.
Can add support for building a QNN NuGet package with static later if
deemed necessary.
- **Android**: Pipelines build QNN EP as a **static library**.
`build.py` enforces QNN EP to be built as a static library. Packaging
multiple shared libraries into an Android AAR package is not currently
supported due to the added need to also distribute a shared libcpp.so
library.

### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->

Author: adrianlizarraga

cmake/CMakeLists.txt

@@ -93,6 +93,7 @@ option(onnxruntime_USE_OPENVINO "Build with OpenVINO support" OFF)
 option(onnxruntime_USE_COREML "Build with CoreML support" OFF)
 option(onnxruntime_USE_NNAPI_BUILTIN "Build with builtin NNAPI lib for Android NNAPI support" OFF)
 option(onnxruntime_USE_QNN "Build with QNN support" OFF)
+option(onnxruntime_BUILD_QNN_EP_STATIC_LIB "Build with QNN EP as a static library" OFF)
 option(onnxruntime_USE_SNPE "Build with SNPE support" OFF)
 option(onnxruntime_USE_RKNPU "Build with RKNPU support" OFF)
 option(onnxruntime_USE_DNNL "Build with DNNL support" OFF)

cmake/onnxruntime.cmake

@@ -199,17 +199,12 @@ if(CMAKE_SYSTEM_NAME STREQUAL "Android" AND onnxruntime_BUILD_JAVA)
   endforeach()
 endif()
 
-# This list is a reversed topological ordering of library dependencies.
-# Earlier entries may depend on later ones. Later ones should not depend on earlier ones.
-set(onnxruntime_INTERNAL_LIBRARIES
-  onnxruntime_session
-  ${onnxruntime_libs}
+set(onnxruntime_INTERNAL_PROVIDER_LIBRARIES
   ${PROVIDERS_ACL}
   ${PROVIDERS_ARMNN}
   ${PROVIDERS_COREML}
   ${PROVIDERS_DML}
   ${PROVIDERS_NNAPI}
-  ${PROVIDERS_QNN}
   ${PROVIDERS_SNPE}
   ${PROVIDERS_RKNPU}
   ${PROVIDERS_VSINPU}
@@ -218,6 +213,18 @@ set(onnxruntime_INTERNAL_LIBRARIES
   ${PROVIDERS_WEBNN}
   ${PROVIDERS_AZURE}
   ${PROVIDERS_INTERNAL_TESTING}
+)
+
+if (onnxruntime_BUILD_QNN_EP_STATIC_LIB)
+  list(APPEND onnxruntime_INTERNAL_PROVIDER_LIBRARIES onnxruntime_providers_qnn)
+endif()
+
+# This list is a reversed topological ordering of library dependencies.
+# Earlier entries may depend on later ones. Later ones should not depend on earlier ones.
+set(onnxruntime_INTERNAL_LIBRARIES
+  onnxruntime_session
+  ${onnxruntime_libs}
+  ${onnxruntime_INTERNAL_PROVIDER_LIBRARIES}
   ${onnxruntime_winml}
   onnxruntime_optimizer
   onnxruntime_providers

cmake/onnxruntime_java.cmake

@@ -148,7 +148,7 @@ if (WIN32)
   if(NOT onnxruntime_ENABLE_STATIC_ANALYSIS)
     add_custom_command(TARGET onnxruntime4j_jni POST_BUILD COMMAND ${CMAKE_COMMAND} -E copy_if_different $<TARGET_FILE:onnxruntime> ${JAVA_PACKAGE_LIB_DIR}/$<TARGET_FILE_NAME:onnxruntime>)
     add_custom_command(TARGET onnxruntime4j_jni POST_BUILD COMMAND ${CMAKE_COMMAND} -E copy_if_different $<TARGET_FILE:onnxruntime4j_jni> ${JAVA_PACKAGE_JNI_DIR}/$<TARGET_FILE_NAME:onnxruntime4j_jni>)
-    if (onnxruntime_USE_CUDA OR onnxruntime_USE_DNNL OR onnxruntime_USE_OPENVINO OR onnxruntime_USE_TENSORRT)
+    if (onnxruntime_USE_CUDA OR onnxruntime_USE_DNNL OR onnxruntime_USE_OPENVINO OR onnxruntime_USE_TENSORRT OR (onnxruntime_USE_QNN AND NOT onnxruntime_BUILD_QNN_EP_STATIC_LIB))
       add_custom_command(TARGET onnxruntime4j_jni POST_BUILD COMMAND ${CMAKE_COMMAND} -E copy_if_different $<TARGET_FILE:onnxruntime_providers_shared> ${JAVA_PACKAGE_LIB_DIR}/$<TARGET_FILE_NAME:onnxruntime_providers_shared>)
     endif()
     if (onnxruntime_USE_CUDA)
@@ -163,11 +163,14 @@ if (WIN32)
     if (onnxruntime_USE_TENSORRT)
       add_custom_command(TARGET onnxruntime4j_jni POST_BUILD COMMAND ${CMAKE_COMMAND} -E copy_if_different $<TARGET_FILE:onnxruntime_providers_tensorrt> ${JAVA_PACKAGE_LIB_DIR}/$<TARGET_FILE_NAME:onnxruntime_providers_tensorrt>)
     endif()
+    if (onnxruntime_USE_QNN AND NOT onnxruntime_BUILD_QNN_EP_STATIC_LIB)
+      add_custom_command(TARGET onnxruntime4j_jni POST_BUILD COMMAND ${CMAKE_COMMAND} -E copy_if_different $<TARGET_FILE:onnxruntime_providers_qnn> ${JAVA_PACKAGE_LIB_DIR}/$<TARGET_FILE_NAME:onnxruntime_providers_qnn>)
+    endif()
   endif()
 else()
   add_custom_command(TARGET onnxruntime4j_jni POST_BUILD COMMAND ${CMAKE_COMMAND} -E copy_if_different $<TARGET_FILE:onnxruntime> ${JAVA_PACKAGE_LIB_DIR}/$<TARGET_LINKER_FILE_NAME:onnxruntime>)
   add_custom_command(TARGET onnxruntime4j_jni POST_BUILD COMMAND ${CMAKE_COMMAND} -E copy_if_different $<TARGET_FILE:onnxruntime4j_jni> ${JAVA_PACKAGE_JNI_DIR}/$<TARGET_LINKER_FILE_NAME:onnxruntime4j_jni>)
-  if (onnxruntime_USE_CUDA OR onnxruntime_USE_DNNL OR onnxruntime_USE_OPENVINO OR onnxruntime_USE_TENSORRT)
+  if (onnxruntime_USE_CUDA OR onnxruntime_USE_DNNL OR onnxruntime_USE_OPENVINO OR onnxruntime_USE_TENSORRT OR (onnxruntime_USE_QNN AND NOT onnxruntime_BUILD_QNN_EP_STATIC_LIB))
     add_custom_command(TARGET onnxruntime4j_jni POST_BUILD COMMAND ${CMAKE_COMMAND} -E copy_if_different $<TARGET_FILE:onnxruntime_providers_shared> ${JAVA_PACKAGE_LIB_DIR}/$<TARGET_LINKER_FILE_NAME:onnxruntime_providers_shared>)
   endif()
   if (onnxruntime_USE_CUDA)
@@ -182,6 +185,9 @@ else()
   if (onnxruntime_USE_TENSORRT)
     add_custom_command(TARGET onnxruntime4j_jni POST_BUILD COMMAND ${CMAKE_COMMAND} -E copy_if_different $<TARGET_FILE:onnxruntime_providers_tensorrt> ${JAVA_PACKAGE_LIB_DIR}/$<TARGET_LINKER_FILE_NAME:onnxruntime_providers_tensorrt>)
   endif()
+  if (onnxruntime_USE_QNN AND NOT onnxruntime_BUILD_QNN_EP_STATIC_LIB)
+    add_custom_command(TARGET onnxruntime4j_jni POST_BUILD COMMAND ${CMAKE_COMMAND} -E copy_if_different $<TARGET_FILE:onnxruntime_providers_qnn> ${JAVA_PACKAGE_LIB_DIR}/$<TARGET_LINKER_FILE_NAME:onnxruntime_providers_qnn>)
+  endif()
 endif()
 
 # run the build process (this copies the results back into CMAKE_CURRENT_BINARY_DIR)

cmake/onnxruntime_providers.cmake

@@ -74,9 +74,6 @@ endif()
 if(onnxruntime_USE_JSEP)
   set(PROVIDERS_JS onnxruntime_providers_js)
 endif()
-if(onnxruntime_USE_QNN)
-  set(PROVIDERS_QNN onnxruntime_providers_qnn)
-endif()
 if(onnxruntime_USE_RKNPU)
   set(PROVIDERS_RKNPU onnxruntime_providers_rknpu)
 endif()

cmake/onnxruntime_providers_cpu.cmake

@@ -239,7 +239,9 @@ if (NOT onnxruntime_MINIMAL_BUILD AND NOT onnxruntime_EXTENDED_MINIMAL_BUILD
   set_property(TARGET onnxruntime_providers_shared APPEND_STRING PROPERTY LINK_FLAGS "-Xlinker -exported_symbols_list ${ONNXRUNTIME_ROOT}/core/providers/shared/exported_symbols.lst")
   elseif(UNIX)
     if(NOT ${CMAKE_SYSTEM_NAME} MATCHES "AIX")
-      set_property(TARGET onnxruntime_providers_shared APPEND_STRING PROPERTY LINK_FLAGS "-Xlinker --version-script=${ONNXRUNTIME_ROOT}/core/providers/shared/version_script.lds -Xlinker --gc-sections")
+      target_link_options(onnxruntime_providers_shared PRIVATE
+                          "LINKER:--version-script=${ONNXRUNTIME_ROOT}/core/providers/shared/version_script.lds"
+                          "LINKER:--gc-sections")
     endif()
   elseif(WIN32)
   set_property(TARGET onnxruntime_providers_shared APPEND_STRING PROPERTY LINK_FLAGS "-DEF:${ONNXRUNTIME_ROOT}/core/providers/shared/symbols.def")

cmake/onnxruntime_providers_qnn.cmake

@@ -3,41 +3,89 @@
 
   add_compile_definitions(USE_QNN=1)
 
-  # These are shared utils,
-  # TODO, move to a separate lib when used by EPs other than QNN, NNAPI and CoreML
-  file(GLOB onnxruntime_providers_shared_utils_cc_srcs CONFIGURE_DEPENDS
-    "${ONNXRUNTIME_ROOT}/core/providers/shared/utils/utils.h"
-    "${ONNXRUNTIME_ROOT}/core/providers/shared/utils/utils.cc"
-  )
+  if(onnxruntime_BUILD_QNN_EP_STATIC_LIB)
+    add_compile_definitions(BUILD_QNN_EP_STATIC_LIB=1)
+  endif()
 
   file(GLOB_RECURSE
-    onnxruntime_providers_qnn_ep_cc_srcs CONFIGURE_DEPENDS
-    "${ONNXRUNTIME_ROOT}/core/providers/qnn/*.h"
-    "${ONNXRUNTIME_ROOT}/core/providers/qnn/*.cc"
+       onnxruntime_providers_qnn_ep_srcs CONFIGURE_DEPENDS
+       "${ONNXRUNTIME_ROOT}/core/providers/qnn/*.h"
+       "${ONNXRUNTIME_ROOT}/core/providers/qnn/*.cc"
   )
 
-  file(GLOB_RECURSE
-    onnxruntime_providers_qnn_builder_cc_srcs CONFIGURE_DEPENDS
-    "${ONNXRUNTIME_ROOT}/core/providers/qnn/builder/*.h"
-    "${ONNXRUNTIME_ROOT}/core/providers/qnn/builder/*.cc"
-  )
+  if(onnxruntime_BUILD_QNN_EP_STATIC_LIB)
+    #
+    # Build QNN EP as a static library
+    #
+    set(onnxruntime_providers_qnn_srcs ${onnxruntime_providers_qnn_ep_srcs})
+    source_group(TREE ${ONNXRUNTIME_ROOT}/core FILES ${onnxruntime_providers_qnn_srcs})
+    onnxruntime_add_static_library(onnxruntime_providers_qnn ${onnxruntime_providers_qnn_srcs})
+    onnxruntime_add_include_to_target(onnxruntime_providers_qnn onnxruntime_common onnxruntime_framework onnx
+                                                                onnx_proto protobuf::libprotobuf-lite
+                                                                flatbuffers::flatbuffers Boost::mp11)
+    add_dependencies(onnxruntime_providers_qnn onnx ${onnxruntime_EXTERNAL_DEPENDENCIES})
+    set_target_properties(onnxruntime_providers_qnn PROPERTIES CXX_STANDARD_REQUIRED ON)
+    set_target_properties(onnxruntime_providers_qnn PROPERTIES FOLDER "ONNXRuntime")
+    target_include_directories(onnxruntime_providers_qnn PRIVATE ${ONNXRUNTIME_ROOT}
+                                                                 ${onnxruntime_QNN_HOME}/include/QNN
+                                                                 ${onnxruntime_QNN_HOME}/include)
+    set_target_properties(onnxruntime_providers_qnn PROPERTIES LINKER_LANGUAGE CXX)
 
-  set(onnxruntime_providers_qnn_cc_srcs
-    ${onnxruntime_providers_shared_utils_cc_srcs}
-    ${onnxruntime_providers_qnn_ep_cc_srcs}
-    ${onnxruntime_providers_qnn_builder_cc_srcs}
-  )
+    # ignore the warning unknown-pragmas on "pragma region"
+    if(NOT MSVC)
+      target_compile_options(onnxruntime_providers_qnn PRIVATE "-Wno-unknown-pragmas")
+    endif()
+  else()
+    #
+    # Build QNN EP as a shared library
+    #
+    file(GLOB_RECURSE
+         onnxruntime_providers_qnn_shared_lib_srcs CONFIGURE_DEPENDS
+         "${ONNXRUNTIME_ROOT}/core/providers/shared_library/*.h"
+         "${ONNXRUNTIME_ROOT}/core/providers/shared_library/*.cc"
+    )
+    set(onnxruntime_providers_qnn_srcs ${onnxruntime_providers_qnn_ep_srcs}
+	                               ${onnxruntime_providers_qnn_shared_lib_srcs})
+
+    source_group(TREE ${ONNXRUNTIME_ROOT}/core FILES ${onnxruntime_providers_qnn_srcs})
+    onnxruntime_add_shared_library_module(onnxruntime_providers_qnn ${onnxruntime_providers_qnn_srcs})
+    onnxruntime_add_include_to_target(onnxruntime_providers_qnn ${ONNXRUNTIME_PROVIDERS_SHARED} ${GSL_TARGET} onnx
+	                                                        onnxruntime_common Boost::mp11 safeint_interface)
+    target_link_libraries(onnxruntime_providers_qnn PRIVATE ${ONNXRUNTIME_PROVIDERS_SHARED} ${ABSEIL_LIBS} ${CMAKE_DL_LIBS})
+    add_dependencies(onnxruntime_providers_qnn onnxruntime_providers_shared ${onnxruntime_EXTERNAL_DEPENDENCIES})
+    target_include_directories(onnxruntime_providers_qnn PRIVATE ${ONNXRUNTIME_ROOT}
+                                                                 ${CMAKE_CURRENT_BINARY_DIR}
+                                                                 ${onnxruntime_QNN_HOME}/include/QNN
+                                                                 ${onnxruntime_QNN_HOME}/include)
+
+    # Set linker flags for function(s) exported by EP DLL
+    if(UNIX)
+      target_link_options(onnxruntime_providers_qnn PRIVATE
+                          "LINKER:--version-script=${ONNXRUNTIME_ROOT}/core/providers/qnn/version_script.lds"
+                          "LINKER:--gc-sections"
+                          "LINKER:-rpath=\$ORIGIN"
+      )
+    elseif(WIN32)
+      set_property(TARGET onnxruntime_providers_qnn APPEND_STRING PROPERTY LINK_FLAGS
+                   "-DEF:${ONNXRUNTIME_ROOT}/core/providers/qnn/symbols.def")
+    else()
+      message(FATAL_ERROR "onnxruntime_providers_qnn unknown platform, need to specify shared library exports for it")
+    endif()
+
+    # Set compile options
+    if(MSVC)
+      target_compile_options(onnxruntime_providers_qnn PUBLIC /wd4099 /wd4005)
+    else()
+      # ignore the warning unknown-pragmas on "pragma region"
+      target_compile_options(onnxruntime_providers_qnn PRIVATE "-Wno-unknown-pragmas")
+    endif()
+
+    set_target_properties(onnxruntime_providers_qnn PROPERTIES LINKER_LANGUAGE CXX)
+    set_target_properties(onnxruntime_providers_qnn PROPERTIES CXX_STANDARD_REQUIRED ON)
+    set_target_properties(onnxruntime_providers_qnn PROPERTIES FOLDER "ONNXRuntime")
 
-  source_group(TREE ${ONNXRUNTIME_ROOT}/core FILES ${onnxruntime_providers_qnn_cc_srcs})
-  onnxruntime_add_static_library(onnxruntime_providers_qnn ${onnxruntime_providers_qnn_cc_srcs})
-  onnxruntime_add_include_to_target(onnxruntime_providers_qnn onnxruntime_common onnxruntime_framework onnx onnx_proto protobuf::libprotobuf-lite flatbuffers::flatbuffers Boost::mp11)
-  target_link_libraries(onnxruntime_providers_qnn)
-  add_dependencies(onnxruntime_providers_qnn onnx ${onnxruntime_EXTERNAL_DEPENDENCIES})
-  set_target_properties(onnxruntime_providers_qnn PROPERTIES CXX_STANDARD_REQUIRED ON)
-  set_target_properties(onnxruntime_providers_qnn PROPERTIES FOLDER "ONNXRuntime")
-  target_include_directories(onnxruntime_providers_qnn PRIVATE ${ONNXRUNTIME_ROOT} ${onnxruntime_QNN_HOME}/include/QNN ${onnxruntime_QNN_HOME}/include)
-  set_target_properties(onnxruntime_providers_qnn PROPERTIES LINKER_LANGUAGE CXX)
-  # ignore the warning unknown-pragmas on "pragma region"
-  if(NOT MSVC)
-    target_compile_options(onnxruntime_providers_qnn PRIVATE "-Wno-unknown-pragmas")
+    install(TARGETS onnxruntime_providers_qnn
+            ARCHIVE  DESTINATION ${CMAKE_INSTALL_LIBDIR}
+            LIBRARY  DESTINATION ${CMAKE_INSTALL_LIBDIR}
+            RUNTIME  DESTINATION ${CMAKE_INSTALL_BINDIR})
   endif()

cmake/onnxruntime_python.cmake

@@ -169,9 +169,7 @@ if (onnxruntime_ENABLE_LAZY_TENSOR)
   endif()
 endif()
 
-target_link_libraries(onnxruntime_pybind11_state PRIVATE
-    onnxruntime_session
-    ${onnxruntime_libs}
+set(onnxruntime_pybind11_state_static_providers
     ${PROVIDERS_NNAPI}
     ${PROVIDERS_VSINPU}
     ${PROVIDERS_XNNPACK}
@@ -183,7 +181,16 @@ target_link_libraries(onnxruntime_pybind11_state PRIVATE
     ${PROVIDERS_XNNPACK}
     ${PROVIDERS_WEBGPU}
     ${PROVIDERS_AZURE}
-    ${PROVIDERS_QNN}
+)
+
+if(onnxruntime_BUILD_QNN_EP_STATIC_LIB)
+  list(APPEND onnxruntime_pybind11_state_static_providers PRIVATE onnxruntime_providers_qnn)
+endif()
+
+target_link_libraries(onnxruntime_pybind11_state PRIVATE
+    onnxruntime_session
+    ${onnxruntime_libs}
+    ${onnxruntime_pybind11_state_static_providers}
     onnxruntime_optimizer
     onnxruntime_providers
     onnxruntime_util
@@ -1000,6 +1007,16 @@ if (onnxruntime_USE_COREML)
 endif()
 
 if (onnxruntime_USE_QNN)
+  if(NOT onnxruntime_BUILD_QNN_EP_STATIC_LIB)
+    add_custom_command(
+      TARGET onnxruntime_pybind11_state POST_BUILD
+      COMMAND ${CMAKE_COMMAND} -E copy
+        $<TARGET_FILE:onnxruntime_providers_qnn>
+        $<TARGET_FILE:onnxruntime_providers_shared>
+        $<TARGET_FILE_DIR:${build_output_target}>/onnxruntime/capi/
+    )
+  endif()
+
   add_custom_command(
     TARGET onnxruntime_pybind11_state POST_BUILD
     COMMAND ${CMAKE_COMMAND} -E copy

cmake/onnxruntime_unittests.cmake

@@ -619,16 +619,13 @@ if(onnxruntime_USE_ARMNN)
   list(APPEND onnxruntime_test_providers_dependencies onnxruntime_providers_armnn)
 endif()
 
-set(ONNXRUNTIME_TEST_LIBS
-    onnxruntime_session
-    ${ONNXRUNTIME_INTEROP_TEST_LIBS}
-    ${onnxruntime_libs}
-    # CUDA, ROCM, TENSORRT, MIGRAPHX, DNNL, and OpenVINO are dynamically loaded at runtime
+set(ONNXRUNTIME_TEST_STATIC_PROVIDER_LIBS
+    # CUDA, ROCM, TENSORRT, MIGRAPHX, DNNL, and OpenVINO are dynamically loaded at runtime.
+    # QNN EP can be built as either a dynamic and static libs.
     ${PROVIDERS_NNAPI}
     ${PROVIDERS_VSINPU}
     ${PROVIDERS_JS}
     ${PROVIDERS_WEBGPU}
-    ${PROVIDERS_QNN}
     ${PROVIDERS_SNPE}
     ${PROVIDERS_RKNPU}
     ${PROVIDERS_DML}
@@ -637,6 +634,17 @@ set(ONNXRUNTIME_TEST_LIBS
     ${PROVIDERS_COREML}
     ${PROVIDERS_XNNPACK}
     ${PROVIDERS_AZURE}
+)
+
+if (onnxruntime_BUILD_QNN_EP_STATIC_LIB)
+  list(APPEND ONNXRUNTIME_TEST_STATIC_PROVIDER_LIBS onnxruntime_providers_qnn)
+endif()
+
+set(ONNXRUNTIME_TEST_LIBS
+    onnxruntime_session
+    ${ONNXRUNTIME_INTEROP_TEST_LIBS}
+    ${onnxruntime_libs}
+    ${ONNXRUNTIME_TEST_STATIC_PROVIDER_LIBS}
     onnxruntime_optimizer
     onnxruntime_providers
     onnxruntime_util
@@ -700,7 +708,9 @@ if(onnxruntime_USE_QNN AND NOT onnxruntime_MINIMAL_BUILD AND NOT onnxruntime_RED
   list(APPEND onnxruntime_test_framework_src_patterns ${TEST_SRC_DIR}/providers/qnn/*)
   list(APPEND onnxruntime_test_framework_libs onnxruntime_providers_qnn)
   list(APPEND onnxruntime_test_providers_dependencies onnxruntime_providers_qnn)
-  list(APPEND onnxruntime_test_providers_libs onnxruntime_providers_qnn)
+  if(NOT onnxruntime_BUILD_QNN_EP_STATIC_LIB)
+    list(APPEND onnxruntime_test_providers_dependencies onnxruntime_providers_shared)
+  endif()
 endif()
 
 if(onnxruntime_USE_SNPE)

java/src/main/java/ai/onnxruntime/OnnxRuntime.java

@@ -76,6 +76,9 @@ final class OnnxRuntime {
   /** The short name of the ONNX runtime TensorRT provider library */
   static final String ONNXRUNTIME_LIBRARY_TENSORRT_NAME = "onnxruntime_providers_tensorrt";
 
+  /** The short name of the ONNX runtime QNN provider library */
+  static final String ONNXRUNTIME_LIBRARY_QNN_NAME = "onnxruntime_providers_qnn";
+
   /** The OS & CPU architecture string */
   private static final String OS_ARCH_STR = initOsArch();
 
@@ -159,8 +162,11 @@ static synchronized void init() throws IOException {
       // the ONNX Runtime native library will load it
       extractProviderLibrary(ONNXRUNTIME_LIBRARY_SHARED_NAME);
 
-      load(ONNXRUNTIME_LIBRARY_NAME);
+      if (!isAndroid()) {
+        load(ONNXRUNTIME_LIBRARY_NAME);
+      }
       load(ONNXRUNTIME_JNI_LIBRARY_NAME);
+
       ortApiHandle = initialiseAPIBase(ORT_API_VERSION_14);
       if (ortApiHandle == 0L) {
         throw new IllegalStateException(
@@ -252,6 +258,16 @@ static boolean extractTensorRT() {
     return extractProviderLibrary(ONNXRUNTIME_LIBRARY_TENSORRT_NAME);
   }
 
+  /**
+   * Extracts the QNN provider library from the classpath resources if present, or checks to see if
+   * the QNN provider library is in the directory specified by {@link #ONNXRUNTIME_NATIVE_PATH}.
+   *
+   * @return True if the QNN provider library is ready for loading, false otherwise.
+   */
+  static boolean extractQNN() {
+    return extractProviderLibrary(ONNXRUNTIME_LIBRARY_QNN_NAME);
+  }
+
   /**
    * Extracts a shared provider library from the classpath resources if present, or checks to see if
    * that library is in the directory specified by {@link #ONNXRUNTIME_NATIVE_PATH}.
@@ -260,7 +276,7 @@ static boolean extractTensorRT() {
    * @return True if the library is ready for loading by ORT's native code, false otherwise.
    */
   static synchronized boolean extractProviderLibrary(String libraryName) {
-    // Android does not need to extract library and it has no shared provider library
+    // Android does not need to extract provider libraries.
     if (isAndroid()) {
       return false;
     }
@@ -312,7 +328,7 @@ static boolean isAndroid() {
   private static void load(String library) throws IOException {
     // On Android, we simply use System.loadLibrary
     if (isAndroid()) {
-      System.loadLibrary("onnxruntime4j_jni");
+      System.loadLibrary(library);
       return;
     }
 

java/src/main/java/ai/onnxruntime/OrtSession.java

@@ -1320,6 +1320,10 @@ public void addXnnpack(Map<String, String> providerOptions) throws OrtException
      */
     public void addQnn(Map<String, String> providerOptions) throws OrtException {
       String qnnProviderName = "QNN";
+
+      // QNN can either be built as a shared or static library. extractQNN() will extract the
+      // (lib)onnxruntime_providers_qnn(.so/.dll) from classpath resources if present.
+      OnnxRuntime.extractQNN();
       addExecutionProvider(qnnProviderName, providerOptions);
     }